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» Experimental Evaluation of Hierarchical Hidden Markov Models
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MICAI
2007
Springer
15 years 8 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
131
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TCSV
2010
14 years 8 months ago
Group Event Detection With a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recog...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
111
Voted
IBPRIA
2003
Springer
15 years 7 months ago
Chromosome Classification Using Continuous Hidden Markov Models
Up-to-date results on the application of Markov models to chromosome analysis are presented. On the one hand, this means using continuous Hidden Markov Models (HMMs) instead of dis...
César Martínez, Héctor Garc&i...
CLEAR
2007
Springer
133views Biometrics» more  CLEAR 2007»
15 years 8 months ago
The Acoustic Event Detector of AIT
In this paper the acoustic event detection and classification system that has been developed at Athens Information Technology is presented. This system relies on the use of severa...
Christos Boukis, Lazaros C. Polymenakos
124
Voted
JMLR
2006
143views more  JMLR 2006»
15 years 1 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth